Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Simultaneous Sensing and Actuating Capabilities of a Triple-Layer Biomimetic Muscle for Soft Robotics.

This work presents the fabrication and characterization of a triple-layered biomimetic muscle consti...

Chronic kidney disease and Charlson comorbidity index predict complications after robot-assisted radical cystectomy: A single-center study in Japan.

OBJECTIVES: To investigate preoperative patient factors that may predict the occurrence of periopera...

Immune monitoring of allograft status in kidney transplant recipients.

Kidney transplant patients require careful management of immunosuppression to avoid rejection while ...

A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis.

BACKGROUND: The precise prediction of epidermal growth factor receptor (EGFR) mutation status and gr...

Analysis of patients presenting with serum electrolyte imbalance in terms of the differential diagnosis of pseudohypoaldosteronism.

OBJECTIVE: The aim of this study was to contribute to the differential diagnosis of transient pseudo...

Chamber Attention Network (CAN): Towards interpretable diagnosis of pulmonary artery hypertension using echocardiography.

INTRODUCTION: Accurate identification of pulmonary arterial hypertension (PAH) in primary care and r...

The 2022 Banff Meeting Lung Report.

The Lung Session of the 2022 16th Banff Foundation for Allograft Pathology Conference-held in Banff,...

An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD.

INTRODUCTION: Accurate tools to inform individual prognosis in patients with autosomal dominant poly...

Optimization of Rituximab Therapy in Adult Patients With PLA2R1-Associated Membranous Nephropathy With Artificial Intelligence.

INTRODUCTION: Rituximab is a first-line treatment for membranous nephropathy. Nephrotic syndrome lim...

Reducing Gadolinium Contrast With Artificial Intelligence.

Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuro...

The Association of Ischemia Type and Duration with Acute Kidney Injury after Robot-Assisted Partial Nephrectomy.

BACKGROUND: Acute kidney injury (AKI) after robot-assisted partial nephrectomy (RAPN) is a robust su...

Disparities in Diagnosis, Access to Specialist Care and Treatment for Inborn Errors of Immunity.

Inborn errors of immunity represent a rapidly expanding group of genetic disorders of the immune sys...

Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions.

Acute kidney injury (AKI) has a significant impact on the short-term and long-term clinical outcomes...

Real-time dual prediction of intradialytic hypotension and hypertension using an explainable deep learning model.

Both intradialytic hypotension (IDH) and hypertension (IDHTN) are associated with poor outcomes in h...

Development of a novel combined nomogram model integrating deep learning radiomics to diagnose IgA nephropathy clinically.

This study aimed to develop and validate a combined nomogram model based on superb microvascular ima...

Novel Solution for Using Neural Networks for Kidney Boundary Extraction in 2D Ultrasound Data.

: Kidney ultrasound (US) imaging is a significant imaging modality for evaluating kidney health and ...

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